Financial Summary |
|
Contract Amount: | |
Suggested Contribution: | |
Total Commitments Received: | $4,899,365.00 |
100% SP&R Approval: | Approved |
Contact Information |
|||
Lead Study Contact(s): | Joseph Hausman | ||
Joseph.Hausman@dot.gov | |||
Phone: 202- 366-9629 | |||
Study Champion(s): | Joseph Hausman | ||
Joseph.Hausman@dot.gov | |||
Phone: 202- 366-9629 |
Organization | Year | Commitments | Technical Contact Name | Funding Contact Name |
---|---|---|---|---|
Arizona Department of Transportation | 2020 | $100,000.00 | James Meyer | Angela Estrada |
California Department of Transportation | 2019 | $100,000.00 | Chad Baker | Sang Le |
California Department of Transportation | 2023 | $100,000.00 | Chad Baker | Sang Le |
California Department of Transportation | 2024 | $300,000.00 | Chad Baker | Sang Le |
Connecticut Department of Transportation | 2020 | $50,000.00 | Michael Connors | Melanie Zimyeski |
Connecticut Department of Transportation | 2021 | $50,000.00 | Michael Connors | Melanie Zimyeski |
Connecticut Department of Transportation | 2022 | $0.00 | Michael Connors | Melanie Zimyeski |
District of Columbia Department of Transportation | 2022 | $100,000.00 | James Graham | Stephanie Dock |
District of Columbia Department of Transportation | 2023 | $100,000.00 | James Graham | Stephanie Dock |
Federal Highway Administration | 2018 | $407,550.00 | Joseph Hausman | Joseph Hausman |
Federal Highway Administration | 2019 | $1,016,815.00 | Joseph Hausman | Joseph Hausman |
Federal Highway Administration | 2020 | $75,000.00 | Joseph Hausman | Joseph Hausman |
Federal Highway Administration | 2022 | $200,000.00 | Joseph Hausman | Joseph Hausman |
Federal Highway Administration | 2023 | $200,000.00 | Joseph Hausman | Joseph Hausman |
Federal Highway Administration | 2024 | $300,000.00 | Joseph Hausman | Joseph Hausman |
Florida Department of Transportation | 2020 | $0.00 | Paul O'Rourke | Jennifer Clark |
Florida Department of Transportation | 2021 | $100,000.00 | Paul O'Rourke | Jennifer Clark |
Georgia Department of Transportation | 2019 | $100,000.00 | Eric Conklin | Supriya Kamatkar |
Idaho Department of Transportation | 2019 | $100,000.00 | Will Thoman | Ned Parrish |
Idaho Department of Transportation | 2021 | $100,000.00 | Will Thoman | Ned Parrish |
Kansas Department of Transportation | 2021 | $100,000.00 | Kyle Gonterwitz | David Behzadpour |
Massachusetts Department of Transportation | 2020 | $100,000.00 | David Dinocco | Lily Oliver |
Massachusetts Department of Transportation | 2021 | $100,000.00 | David Dinocco | Lily Oliver |
Massachusetts Department of Transportation | 2022 | $100,000.00 | David Dinocco | Lily Oliver |
Massachusetts Department of Transportation | 2023 | $100,000.00 | David Dinocco | Lily Oliver |
Massachusetts Department of Transportation | 2024 | $0.00 | David Dinocco | Lily Oliver |
New Mexico Department of Transportation | 2020 | $100,000.00 | Alicia Ortiz | Alicia Ortiz |
North Carolina Department of Transportation | 2020 | $50,000.00 | Erin Lesh | Neil Mastin |
North Carolina Department of Transportation | 2021 | $50,000.00 | Erin Lesh | Neil Mastin |
North Dakota Department of Transportation | 2020 | $50,000.00 | Stephanie Weiand | Amy Beise |
North Dakota Department of Transportation | 2021 | $50,000.00 | Stephanie Weiand | Amy Beise |
Ohio Department of Transportation | 2020 | $100,000.00 | Ian Kidner | Andrew Shepler |
Oklahoma Transportation | 2020 | $50,000.00 | Sam Coldiron | Ron Curb |
Oklahoma Transportation | 2021 | $50,000.00 | Sam Coldiron | Ron Curb |
Pennsylvania Department of Transportation | 2019 | $100,000.00 | Gregory Dunmire | Evan Zeiders |
Tennessee Department of Transportation | 2019 | $100,000.00 | David Lee | Melanie Murphy |
Washington State Department of Transportation | 2021 | $100,000.00 | Jon Peterson | Jon Peterson |
West Virginia Department of Transportation | 2021 | $100,000.00 | Perry Keller | Perry Keller |
The Highway Performance Monitoring System (HPMS), defined in 23 CFR 460, was established in 1978 to require the states to provide specified system-wide and sample data on roadways of all types in tabular format. More recently, HPMS requirements were extended to include mandatory submission of an All Road Network of Linear Referenced Data (ARNOLD), FHWA’s internal name for the All Roads Network Of Linear referenced Data extracted from HPMS. This new requirement extends LRS to local roads and streets, which may or may not be under the jurisdiction of the DOTs. Doing so is in support of implementing the Transportation for the Nation (TFTN) Strategic Plan, which calls for an expanded HPMS dataset to become the basis for all transportation-related geo-referenced analyses, such as those related to certified road mileage, system maintenance, capital improvements, safety, and bridge inspections. For example, the Guidance on State Safety Data Systems call for geolocation of crash, roadway, and traffic on an all public roads highway basemap to support States analysis and evaluation capabilities. Although HPMS reporting requirements are well defined and national in scope, the data systems developed by the states to collect, store, and manage roadway data may be unique to each state. Legacy mainframe-based data management systems were generally established on an existing LRS that often-lacked geometry and relied on text-based descriptions of road segments. In this model, road locations were identified by their distance from a point of origin and could include referential complexities, such as station equations. Roadway elements and characteristics are described by data records tied to a linear location defined in the LRS. Some states had, or evolved to have, multiple function-specific location referencing methods (LRMs) within their DOT, adding further to the implementation differences between states. Point of origin, LRS structure, path to follow, roadway naming, and other components of state-specific practices were developed over many years and remain widely varied. Despite the uniformity of terms and underlying concepts, the implementation details and the systems that support them are not standardized among the states. These factors have combined to hinder FHWA’s ability to develop a single nationwide, geospatial, digital database. Widespread use of desktop GIS for statewide mapping, geospatial data management, and analysis began in the 1990s. DOTs were early adopters of the technology, often in a decentralized manner. Throughout the period of initial GIS deployment, which continues today, the work is still done, in isolation, one state at a time. Except in those few states where public road mileage is used to allocate tax revenues or the DOT had broad jurisdictional responsibilities, the inclusion of local roads is a relatively recent occurrence. Many states are now attempting to involve local governments in the ARNOLD data production and maintenance process rather than trying to independently produce a statewide spatial database themselves. Such state-local interaction is often a new experience for the participants, and introduces another dynamic to the roadway data collection and management process. This approach creates several challenges. First, is a general absence of experience with LRS at the local level. There are also differences in abstraction of real-world features by the LRM, because of the fundamental differences in scale, precision, and accuracy that drive business processes in a DOT compared to the much smaller geographic areas under local government. At the same time, ARNOLD and many other users are seeking more detailed, very-large-scale end products, where road centerlines and other transportation features directly correspond in position to the location referenced on a digital orthophotograph. More information is available in the Proposal Document posted in the Document Section.
There are now many advantages to adopting an enterprise perspective to the roadway inventory for those states that have not yet done so. DOTs are taking a more integrated approach to transportation system management. Adopting such an approach requires business rules that address data quantity, quality, and the need to integrate data across and between multiple levels of government. This is a massive undertaking, even for those DOTs that already have an integrated highway inventory. Many DOTs are struggling to deploy enterprise LRS that will relate work processes, transportation system data editing, and publication (data reporting, distribution, and sharing). At its core, the problem they face is a lack of understanding of entrenched business processes on the part of those implementing and using enterprise LRS management systems. It is common that the DOT workgroups responsible for map editing do not generally include staff familiar with the business data that will be placed on the maps by others. Many people doing the work today do not have the institutional knowledge regarding how and why the systems were developed, and implicit business rules were not formally documented. Adding to the problem is the absence of knowledge across functional business groups regarding each other’s business data, as well as, the fundamentals of GIS. As a result, most DOTs have evolved as a collection of “stovepipes”—independent groups that focus on a single aspect of the state’s transportation system (e.g., pavement management, bridges, traffic operations, planning, project development, etc.). While making the transition to an enterprise LRS that provides the roadway facilities upon which these functional units are expected to base their own data, DOTs are dealing with legacy systems and work processes that were developed within this stovepipe environment. Most of these functional units have long-established data systems and work processes that evolved over time and often lack a documented set of rules. This is further complicated by incorporating new (to the functional units), geospatially-based workflows. As a result, DOTs across the country are struggling with such questions as: • What are the data business rules and who is responsible for them? If they presently exist, are they well documented and understood by staff? • Who owns or acts as a steward for what data? • What cartographic abstractions and standards are needed by each user group? • Do existing business rules need to evolve to reflect current and future needs/technology? • All States uses an LRS. What LRM(s) do they use? Is it ingrained in their culture • How can the DOT maintain a statewide map of local roads to meet the ARNOLD mandate when the agency may or may not directly work with local roads or agencies? • Should the DOT’s LRS be extended to non-DOT facilities, or do they need a different approach? • How does the DOT address the evolving nature of the transportation system (changes over time, eliminated roads or future roads to be built, realignments, etc.)? • How does the LRS support non-DOT functions, like NexGen911, local road traffic, local road traveler information (511), and other essential functions. This pooled-fund project will assist DOTs, MPOs, and local governments create enterprise GIS data management systems based on data governance best practices that support collaboration through shared business rules and standards that support the principle of “measure once, use many times,” with the goal of a single roadway dataset that meets the needs of multiple groups. The first phase of the project will develop guidance to be named, a document that will guide the Nations DOT's to one geospatial transportation standard. Once the guidance is finalized, the Pooled Fund Study will provide assistance to the participating Sates to implement the guidance.
1) Perform self-assessment of existing data governance policies to determine if they support data quality and sharing. 2) Identify common needs for state and local government transportation agencies responsible for roadway data collection, maintenance, and publication. 3) Define the role of LRS in roadway data collection, maintenance, and publication operations. 4) Establish core requirements for LRS, some of which can build on the work already completed for ARNOLD compliance. 5) Identify the business rules that meet the core requirements for LRS and roadway data collection, maintenance, and publication. 6) Establish guidelines for transportation mapping practices that meet the needs defined above. 7) Assist States in implementing the developed guidelines.
We Have received the SPR PART A Match Waiver Approval. The Part B waiver is not Approved. More information is available in the Proposal Document posted in the Document Section. Donation amount is expected t be $100,000.00 per State or donating entity. FHWA has acquired additional funding and will match the $100,000 State commitment for at least the first 10 States that commit to this PFS (making the total project value for each State $200,000).
Subjects: Bridges, Other Structures, and Hydraulics and Hydrology Freight Transportation Highway and Facility Design Highway Operations, Capacity, and Traffic Control Maintenance Pavement Design, Management, and Performance Planning and Administration Safety and Human Performance
General Information |
|
Study Number: | TPF-5(431) |
Lead Organization: | Federal Highway Administration |
Solicitation Number: | 1464 |
Partners: | AZDOT, CA, CT, DC, FHWA, FL, GADOT, ID, KS, MA, NC, ND, NM, OH, OK, PADOT, TN, WA, WV |
Status: | Cleared by FHWA |
Est. Completion Date: | |
Contract/Other Number: | |
Last Updated: | Dec 07, 2023 |
Contract End Date: |
Financial Summary |
|
Contract Amount: | |
Total Commitments Received: | $4,899,365.00 |
100% SP&R Approval: |
Contact Information |
|||
Lead Study Contact(s): | Joseph Hausman | ||
Joseph.Hausman@dot.gov | |||
Phone: 202- 366-9629 |
Organization | Year | Commitments | Technical Contact Name | Funding Contact Name | Contact Number | Email Address |
---|---|---|---|---|---|---|
Arizona Department of Transportation | 2020 | $100,000.00 | James Meyer | Angela Estrada | (602) 712-8316 | aringorestrada@azdot.gov |
California Department of Transportation | 2019 | $100,000.00 | Chad Baker | Sang Le | (916)701-3998 | sang.le@dot.ca.gov |
California Department of Transportation | 2023 | $100,000.00 | Chad Baker | Sang Le | (916)701-3998 | sang.le@dot.ca.gov |
California Department of Transportation | 2024 | $300,000.00 | Chad Baker | Sang Le | (916)701-3998 | sang.le@dot.ca.gov |
Connecticut Department of Transportation | 2020 | $50,000.00 | Michael Connors | Melanie Zimyeski | (860)594-2144 | Melanie.Zimyeski@ct.gov |
Connecticut Department of Transportation | 2021 | $50,000.00 | Michael Connors | Melanie Zimyeski | (860)594-2144 | Melanie.Zimyeski@ct.gov |
Connecticut Department of Transportation | 2022 | $0.00 | Michael Connors | Melanie Zimyeski | (860)594-2144 | Melanie.Zimyeski@ct.gov |
District of Columbia Department of Transportation | 2022 | $100,000.00 | James Graham | Stephanie Dock | 202-359-6965 | stephanie.dock@dc.gov |
District of Columbia Department of Transportation | 2023 | $100,000.00 | James Graham | Stephanie Dock | 202-359-6965 | stephanie.dock@dc.gov |
Federal Highway Administration | 2018 | $407,550.00 | Joseph Hausman | Joseph Hausman | (202) 366-9629 | Joseph.Hausman@dot.gov |
Federal Highway Administration | 2019 | $1,016,815.00 | Joseph Hausman | Joseph Hausman | (202) 366-9629 | Joseph.Hausman@dot.gov |
Federal Highway Administration | 2020 | $75,000.00 | Joseph Hausman | Joseph Hausman | (202) 366-9629 | Joseph.Hausman@dot.gov |
Federal Highway Administration | 2022 | $200,000.00 | Joseph Hausman | Joseph Hausman | (202) 366-9629 | Joseph.Hausman@dot.gov |
Federal Highway Administration | 2023 | $200,000.00 | Joseph Hausman | Joseph Hausman | (202) 366-9629 | Joseph.Hausman@dot.gov |
Federal Highway Administration | 2024 | $300,000.00 | Joseph Hausman | Joseph Hausman | (202) 366-9629 | Joseph.Hausman@dot.gov |
Florida Department of Transportation | 2020 | $0.00 | Paul O'Rourke | Jennifer Clark | 850-414-4614 | jennifer.clark@dot.state.fl.us |
Florida Department of Transportation | 2021 | $100,000.00 | Paul O'Rourke | Jennifer Clark | 850-414-4614 | jennifer.clark@dot.state.fl.us |
Georgia Department of Transportation | 2019 | $100,000.00 | Eric Conklin | Supriya Kamatkar | 404-347-0552 | skamatkar@dot.ga.gov |
Idaho Department of Transportation | 2019 | $100,000.00 | Will Thoman | Ned Parrish | 208-334-8296 | ned.parrish@itd.idaho.gov |
Idaho Department of Transportation | 2021 | $100,000.00 | Will Thoman | Ned Parrish | 208-334-8296 | ned.parrish@itd.idaho.gov |
Kansas Department of Transportation | 2021 | $100,000.00 | Kyle Gonterwitz | David Behzadpour | 785-291-3847 | David.Behzadpour@ks.gov |
Massachusetts Department of Transportation | 2020 | $100,000.00 | David Dinocco | Lily Oliver | (857)368-9025 | hongyan.oliver@state.ma.us |
Massachusetts Department of Transportation | 2021 | $100,000.00 | David Dinocco | Lily Oliver | (857)368-9025 | hongyan.oliver@state.ma.us |
Massachusetts Department of Transportation | 2022 | $100,000.00 | David Dinocco | Lily Oliver | (857)368-9025 | hongyan.oliver@state.ma.us |
Massachusetts Department of Transportation | 2023 | $100,000.00 | David Dinocco | Lily Oliver | (857)368-9025 | hongyan.oliver@state.ma.us |
Massachusetts Department of Transportation | 2024 | $0.00 | David Dinocco | Lily Oliver | (857)368-9025 | hongyan.oliver@state.ma.us |
New Mexico Department of Transportation | 2020 | $100,000.00 | Alicia Ortiz | Alicia Ortiz | 505-660-3304 | Alicia.Ortiz@state.nm.us |
North Carolina Department of Transportation | 2020 | $50,000.00 | Erin Lesh | Neil Mastin | 919 272 3706 | neil.mastin@mottmac.com |
North Carolina Department of Transportation | 2021 | $50,000.00 | Erin Lesh | Neil Mastin | 919 272 3706 | neil.mastin@mottmac.com |
North Dakota Department of Transportation | 2020 | $50,000.00 | Stephanie Weiand | Amy Beise | 701-328-6921 | abeise@nd.gov |
North Dakota Department of Transportation | 2021 | $50,000.00 | Stephanie Weiand | Amy Beise | 701-328-6921 | abeise@nd.gov |
Ohio Department of Transportation | 2020 | $100,000.00 | Ian Kidner | Andrew Shepler | Andrew.Shepler@dot.ohio.gov | |
Oklahoma Transportation | 2020 | $50,000.00 | Sam Coldiron | Ron Curb | (405)414-7740 | rcurb@odot.org |
Oklahoma Transportation | 2021 | $50,000.00 | Sam Coldiron | Ron Curb | (405)414-7740 | rcurb@odot.org |
Pennsylvania Department of Transportation | 2019 | $100,000.00 | Gregory Dunmire | Evan Zeiders | 717-787-8460 | evzeiders@pa.gov |
Tennessee Department of Transportation | 2019 | $100,000.00 | David Lee | Melanie Murphy | 615-253-2158 | melanie.murphy@tn.gov |
Washington State Department of Transportation | 2021 | $100,000.00 | Jon Peterson | Jon Peterson | 360-705-7499 | peterjn@wsdot.wa.gov |
West Virginia Department of Transportation | 2021 | $100,000.00 | Perry Keller | Perry Keller | (304)558-9591 | Perry.J.Keller@wv.gov |
The Highway Performance Monitoring System (HPMS), defined in 23 CFR 460, was established in 1978 to require the states to provide specified system-wide and sample data on roadways of all types in tabular format. More recently, HPMS requirements were extended to include mandatory submission of an All Road Network of Linear Referenced Data (ARNOLD), FHWA’s internal name for the All Roads Network Of Linear referenced Data extracted from HPMS. This new requirement extends LRS to local roads and streets, which may or may not be under the jurisdiction of the DOTs. Doing so is in support of implementing the Transportation for the Nation (TFTN) Strategic Plan, which calls for an expanded HPMS dataset to become the basis for all transportation-related geo-referenced analyses, such as those related to certified road mileage, system maintenance, capital improvements, safety, and bridge inspections. For example, the Guidance on State Safety Data Systems call for geolocation of crash, roadway, and traffic on an all public roads highway basemap to support States analysis and evaluation capabilities. Although HPMS reporting requirements are well defined and national in scope, the data systems developed by the states to collect, store, and manage roadway data may be unique to each state. Legacy mainframe-based data management systems were generally established on an existing LRS that often-lacked geometry and relied on text-based descriptions of road segments. In this model, road locations were identified by their distance from a point of origin and could include referential complexities, such as station equations. Roadway elements and characteristics are described by data records tied to a linear location defined in the LRS. Some states had, or evolved to have, multiple function-specific location referencing methods (LRMs) within their DOT, adding further to the implementation differences between states. Point of origin, LRS structure, path to follow, roadway naming, and other components of state-specific practices were developed over many years and remain widely varied. Despite the uniformity of terms and underlying concepts, the implementation details and the systems that support them are not standardized among the states. These factors have combined to hinder FHWA’s ability to develop a single nationwide, geospatial, digital database. Widespread use of desktop GIS for statewide mapping, geospatial data management, and analysis began in the 1990s. DOTs were early adopters of the technology, often in a decentralized manner. Throughout the period of initial GIS deployment, which continues today, the work is still done, in isolation, one state at a time. Except in those few states where public road mileage is used to allocate tax revenues or the DOT had broad jurisdictional responsibilities, the inclusion of local roads is a relatively recent occurrence. Many states are now attempting to involve local governments in the ARNOLD data production and maintenance process rather than trying to independently produce a statewide spatial database themselves. Such state-local interaction is often a new experience for the participants, and introduces another dynamic to the roadway data collection and management process. This approach creates several challenges. First, is a general absence of experience with LRS at the local level. There are also differences in abstraction of real-world features by the LRM, because of the fundamental differences in scale, precision, and accuracy that drive business processes in a DOT compared to the much smaller geographic areas under local government. At the same time, ARNOLD and many other users are seeking more detailed, very-large-scale end products, where road centerlines and other transportation features directly correspond in position to the location referenced on a digital orthophotograph. More information is available in the Proposal Document posted in the Document Section.
There are now many advantages to adopting an enterprise perspective to the roadway inventory for those states that have not yet done so. DOTs are taking a more integrated approach to transportation system management. Adopting such an approach requires business rules that address data quantity, quality, and the need to integrate data across and between multiple levels of government. This is a massive undertaking, even for those DOTs that already have an integrated highway inventory. Many DOTs are struggling to deploy enterprise LRS that will relate work processes, transportation system data editing, and publication (data reporting, distribution, and sharing). At its core, the problem they face is a lack of understanding of entrenched business processes on the part of those implementing and using enterprise LRS management systems. It is common that the DOT workgroups responsible for map editing do not generally include staff familiar with the business data that will be placed on the maps by others. Many people doing the work today do not have the institutional knowledge regarding how and why the systems were developed, and implicit business rules were not formally documented. Adding to the problem is the absence of knowledge across functional business groups regarding each other’s business data, as well as, the fundamentals of GIS. As a result, most DOTs have evolved as a collection of “stovepipes”—independent groups that focus on a single aspect of the state’s transportation system (e.g., pavement management, bridges, traffic operations, planning, project development, etc.). While making the transition to an enterprise LRS that provides the roadway facilities upon which these functional units are expected to base their own data, DOTs are dealing with legacy systems and work processes that were developed within this stovepipe environment. Most of these functional units have long-established data systems and work processes that evolved over time and often lack a documented set of rules. This is further complicated by incorporating new (to the functional units), geospatially-based workflows. As a result, DOTs across the country are struggling with such questions as: • What are the data business rules and who is responsible for them? If they presently exist, are they well documented and understood by staff? • Who owns or acts as a steward for what data? • What cartographic abstractions and standards are needed by each user group? • Do existing business rules need to evolve to reflect current and future needs/technology? • All States uses an LRS. What LRM(s) do they use? Is it ingrained in their culture • How can the DOT maintain a statewide map of local roads to meet the ARNOLD mandate when the agency may or may not directly work with local roads or agencies? • Should the DOT’s LRS be extended to non-DOT facilities, or do they need a different approach? • How does the DOT address the evolving nature of the transportation system (changes over time, eliminated roads or future roads to be built, realignments, etc.)? • How does the LRS support non-DOT functions, like NexGen911, local road traffic, local road traveler information (511), and other essential functions. This pooled-fund project will assist DOTs, MPOs, and local governments create enterprise GIS data management systems based on data governance best practices that support collaboration through shared business rules and standards that support the principle of “measure once, use many times,” with the goal of a single roadway dataset that meets the needs of multiple groups. The first phase of the project will develop guidance to be named, a document that will guide the Nations DOT's to one geospatial transportation standard. Once the guidance is finalized, the Pooled Fund Study will provide assistance to the participating Sates to implement the guidance.
1) Perform self-assessment of existing data governance policies to determine if they support data quality and sharing. 2) Identify common needs for state and local government transportation agencies responsible for roadway data collection, maintenance, and publication. 3) Define the role of LRS in roadway data collection, maintenance, and publication operations. 4) Establish core requirements for LRS, some of which can build on the work already completed for ARNOLD compliance. 5) Identify the business rules that meet the core requirements for LRS and roadway data collection, maintenance, and publication. 6) Establish guidelines for transportation mapping practices that meet the needs defined above. 7) Assist States in implementing the developed guidelines.
We Have received the SPR PART A Match Waiver Approval. The Part B waiver is not Approved. More information is available in the Proposal Document posted in the Document Section. Donation amount is expected t be $100,000.00 per State or donating entity. FHWA has acquired additional funding and will match the $100,000 State commitment for at least the first 10 States that commit to this PFS (making the total project value for each State $200,000).
Subjects: Bridges, Other Structures, and Hydraulics and Hydrology Freight Transportation Highway and Facility Design Highway Operations, Capacity, and Traffic Control Maintenance Pavement Design, Management, and Performance Planning and Administration Safety and Human Performance
Title | File/Link | Type | Private |
---|---|---|---|
Quarterly Report 18 - 3-31-2024 | z2024-3-31 - AEGIST QPR 18 Jan-March 2024.docx | Progress Report | Public |
Quarterly Report 19 - 6-30-2024 | z2024-6-30 - AEGIST QPR 19 April-June 2024.docx | Progress Report | Public |
Quarterly Report 17 - 12-31-2023 | z2023-12-31 - AEGIST QPR 17 Oct-Dec 2023.docx | Progress Report | Public |
Quarterly Report 16 - 9-30-2023 | z2023-09-30 - AEGIST QPR 16 July-Sep 2023.docx | Progress Report | Public |
Quarterly Report 15 - 6-30-2023 | z2023-6-31 - AEGIST QPR 15 Apr-Jun 2023.pdf | Progress Report | Public |
Quarterly Report 14 - 3-31-2023 | z2023-3-31 - AEGIST QPR 14 Jan-March 2023.docx | Progress Report | Public |
Quarterly Report 13 - 12-30-2022 | z2022-12-30 - AEGIST QPR 13 Oct-Dec 2022.docx | Progress Report | Public |
Quarterly Report 12 - 9-30-2022 | z2022-9-30 - AEGIST QPR 12 July-Sept 2022.docx | Progress Report | Public |
Quarterly Report 11 - 6-30-2022 | z2022-6-30 - AEGIST QPR 11 Apr-Jun 2022.docx | Progress Report | Public |
Quarterly Report 10 - 3-31-2022 | z2022-3-31 - AEGIST QPR 10 Jan-Mar 2022.docx | Progress Report | Public |
Quarterly Report 9 - 12-31-2021 | z2021-12-31 - AEGIST QPR 9 Oct-Dec 2021.docx | Progress Report | Public |
Quarterly Report 8 - 9-30-2021 | z2021-09-30 - AEGIST QPR 8 July-Sep 2021.docx | Progress Report | Public |
Quarterly Report 7 - 7-30-2021 | z2021-07-30 - AEGIST QPR 7 May-July 2021.docx | Progress Report | Public |
Quarterly Report 6 - 4-30-2021 | z2021-04-30 - AEGIST QPR 6 Jan-Apr 2021.docx | Progress Report | Public |
Quarterly Report 5 - 12-30-2020 | z2020-12-30 - AEGIST QPR 5 - Oct-Dec 2020.docx | Progress Report | Public |
Quarterly Report 4 - 9-30-2020 | z2020-09-30 - AEGIST QPR 4 - Jul-Sep 2020.docx | Progress Report | Public |
Quarterly Report 3 - 6-30-2020 | z2020-06-30 - AEGIST QPR 3 - Apr-Jun 2020.docx | Progress Report | Public |
Quarterly Report 2 - 3-30-2020 | z2020-03-30 - AEGIST QPR 2 - Jan-Mar 2020.docx | Progress Report | Public |
Quarterly Report 1 - 12-30-2019 | z2019-12-30 - AEGIST QPR 1 - Oct-Dec 2019.docx | Progress Report | Public |
AEGIST Flyer | AEGIST_1-pager_11-22-2022_508.pdf | Other | Public |
TPF-5(431) Acceptance Letter | TPF-5(431) Acceptance Letter.pdf | Memorandum | Public |
Title | File/Link | Type | Private |
---|---|---|---|
SPR Waiver | AEGIST SPR Waiver - 031819.pdf | Other | Public |
AEGIST | PoolFundStudy_BusinessRules_Draft_Final_Leadership_JJH_Long rev2.docx | TPF Study Documentation | Public |